// 3D Volumetric Segmentation Example
//
// This example demonstrates how to use GridCut for 3D volumetric segmentation.
// We create a simple synthetic 3D volume and segment it into foreground and background.
// This is useful for medical imaging applications like CT/MRI scan segmentation.

// Note: This example is a placeholder for when GridGraph3D6C is implemented.
// Currently, the 3D graph structures are not yet implemented in the library.

fn main() {
    println!("GridCut 3D Volumetric Segmentation Example");
    println!("===========================================\n");

    println!("⚠ This example requires GridGraph3D6C which is not yet implemented.");
    println!("   The 3D graph structures are planned for future implementation.");
    println!("\nPlanned usage:");
    println!("  1. Create a GridGraph3D6C with width, height, and depth");
    println!("  2. Set terminal capacities for each voxel (3D pixel)");
    println!("  3. Set neighbor capacities for 6-connected neighbors");
    println!("  4. Compute maxflow to find the optimal segmentation");
    println!("  5. Extract the segmentation by querying each voxel's segment");
    
    println!("\nExample code structure:");
    println!(r#"
    // Create 3D volume
    let width = 10;
    let height = 10;
    let depth = 10;
    
    // This will work once GridGraph3D6C is implemented:
    // let mut graph = GridGraph3D6C::<f32, f32, f32>::new(width, height, depth)?;
    
    // Set up capacities for each voxel
    // for z in 0..depth {{
    //     for y in 0..height {{
    //         for x in 0..width {{
    //             let node = graph.node_id(x, y, z)?;
    //             
    //             // Set terminal capacities based on voxel intensity
    //             graph.set_terminal_cap(node, cap_source, cap_sink)?;
    //             
    //             // Set neighbor capacities for smoothness
    //             if x < width - 1 {{
    //                 graph.set_neighbor_cap(node, 1, 0, 0, smoothness)?;
    //             }}
    //             if y < height - 1 {{
    //                 graph.set_neighbor_cap(node, 0, 1, 0, smoothness)?;
    //             }}
    //             if z < depth - 1 {{
    //                 graph.set_neighbor_cap(node, 0, 0, 1, smoothness)?;
    //             }}
    //         }}
    //     }}
    // }}
    //
    // // Compute segmentation
    // graph.compute_maxflow();
    //
    // // Extract results
    // for z in 0..depth {{
    //     for y in 0..height {{
    //         for x in 0..width {{
    //             let node = graph.node_id(x, y, z)?;
    //             let segment = graph.get_segment(node);
    //             // Process segmentation result...
    //         }}
    //     }}
    // }}
    "#);

    println!("\nUse cases for 3D segmentation:");
    println!("  • Medical imaging: Segment organs, tumors, or tissues in CT/MRI scans");
    println!("  • 3D reconstruction: Separate objects from background in volumetric data");
    println!("  • Video segmentation: Segment objects across time (treating time as 3rd dimension)");
    println!("  • Scientific visualization: Extract isosurfaces and regions of interest");

    println!("\nFor now, please refer to the 2D example:");
    println!("  cargo run --example image_segmentation_2d");
}
